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๐ŸŽด Once In A Lifetime: The Ultimate Solitaire Challenge

A multi-generational family card game that has captivated players for decades - now with computational analysis to discover just how special that "once in a lifetime" moment truly is!

๐Ÿ  The Family Story

This repository contains the computational analysis of a beloved family solitaire game passed down through generations. What started as a friendly family debate about the difficulty of achieving victory led to one of the most extensive card game probability studies ever conducted - with over 700 million simulated games!

The catalyst? A confident family member claimed to have won "several times" and found it "boring." With 40+ years of gameplay experience and a background in quantitative analysis, the challenge was set: prove just how extraordinary a win truly is.

๐ŸŽฏ Game Overview

Once In A Lifetime is a solitaire card game where the ultimate goal is to consolidate all 52 cards into a single stack. The name perfectly captures the rarity of this achievement - as our extensive computational analysis reveals!

๐ŸŽด How to Play

Setup

  • Start with a standard 52-card deck, shuffled
  • Your goal: Get all cards into one stack

Gameplay Rules

  1. Initial Play: Draw and place the first card face-up โ™ ๏ธ

  2. Draw and Compare: Draw the next card from the deck

  3. Matching Logic: The new card is compared to existing stack tops using these rules:

    • Cards match if they have the same rank OR same suit
    • New cards can match with stacks in two specific positions only:
      • Adjacent stack (immediately to the left)
      • Stack exactly 3 positions back (3 positions to the left)

    Position Rule Example (with stacks Z, C, Y, X from left to right):

    Z    C    Y    X
    โ™ ๏ธK  โ™ฆ๏ธ5  โ™ฃ๏ธ7  [New Card: โ™ ๏ธA]
    
    โ™ ๏ธA can match with:
    โœ… Y (adjacent): โ™ ๏ธA vs โ™ฃ๏ธ7 = No match
    โœ… Z (3 back): โ™ ๏ธA vs โ™ ๏ธK = Same suit! Match!
    โŒ C (2 back): Not allowed by rules
    
  4. Player Choice: If both positions have matches, player chooses one (but not both)

  5. Stack Consolidation: When cards match, place the new card on top:

    Before: โ™ ๏ธK  โ™ฆ๏ธ5  โ™ฃ๏ธ7  
    After:  โ™ ๏ธA  โ™ฆ๏ธ5  โ™ฃ๏ธ7
            โ™ ๏ธK
    
  6. Cascading Matches: After any match, check if stacks can now merge using the same position rules

  7. No Match Rule: If no valid match exists (adjacent OR 3-back), create a new stack to the right

  8. Scoring: Continue until all 52 cards are drawn. Count your final stacks - fewer is better!

๐ŸŽ–๏ธ Scoring System

Stacks Achievement Level Rarity
๐Ÿ† 1 stack ONCE IN A LIFETIME! Extraordinarily Rare
๐Ÿฅˆ 2 stacks Legendary 0.18% of games
๐Ÿฅ‰ 3 stacks Exceptional 13.3% of games
๐Ÿ“Š 4-5 stacks Good Game 78% of games
๐Ÿ“ˆ 6+ stacks Keep Trying! 8.3% of games

๐Ÿš€ Quick Start Guide

Python Implementation

# Run the latest, most complete version
python OiaLver0.0.5.py

# Try the clean, object-oriented version
python GoodOne2.py

# These will run 10,000 simulations by default

Julia Implementation (High Performance)

# For serious statistical analysis
julia OnceInALifetime.jl 1000000    # 1 million games
julia OnceInALifetime.jl 1000000000 # 1 billion games!

# Standard version with plotting
julia OiaLver0.0.5.jl

๐Ÿ“‹ Requirements

  • Python: matplotlib for visualizations
  • Julia: Random, Plots packages

๐Ÿงช The Great Computational Experiment

Methodology

Using high-performance Julia code, we conducted one of the largest solitaire simulations ever:

  • 700+ million games simulated
  • Multiple implementations to verify accuracy
  • Statistical analysis of score distributions
  • Performance optimization achieving 240,000+ games/second

๐ŸŽŠ The Remarkable Results

Win Rate Discovery

After 700 million simulations:

  • ๐Ÿ† Wins achieved: 0
  • ๐Ÿ“Š Upper bound probability: Less than 1 in 700 million
  • ๐ŸŽฏ Conclusion: "Once In A Lifetime" is perfectly named!

Performance Achievements

Implementation Games/Second Best Use Case
Python (OiaLver0.0.5) ~35,000 Learning & Visualization
Python (GoodOne2) ~35,000 Clean Code Study
Julia ~240,000 Large-Scale Analysis

Score Distribution (1 Million Game Sample)

๐ŸŽฏ 2 stacks: โ–ˆโ–ˆโ–ˆโ–ˆ 0.18%  (1,830 games) - LEGENDARY!
๐Ÿ“Š 3 stacks: โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ 13.28%  - Exceptional
๐Ÿ“ˆ 4 stacks: โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ 46.50% - Great!
๐Ÿ“ˆ 5 stacks: โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ 31.73% - Good!
๐Ÿ“‰ 6+ stacks: โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ 8.31% - Keep playing!

๐Ÿ—‚๏ธ Implementation Versions

๐Ÿ Python Implementations

  • OiaLver0.0.5.py - ๐ŸŒŸ Most complete with matplotlib histograms
  • GoodOne2.py - ๐ŸŽฏ Clean, object-oriented design
  • OiaLver0.0.1.py to 0.0.4.py - ๐Ÿ“š Evolution of development
  • Alternative versions - Various approaches and experiments

โšก Julia Implementations

  • OnceInALifetime.jl - ๐Ÿš€ High-performance simulation engine
  • OiaLver0.0.5.jl - ๐Ÿ“Š Full-featured with plotting capabilities

๐Ÿ“– Documentation

  • OnceInALifetime.qmd - ๐Ÿ“ Complete narrative and analysis
  • CLAUDE.md - ๐Ÿค– AI development guidance

๐ŸŽฎ Try It Yourself!

Single Game Simulation

from OiaLver0_0_5 import main
main(iterations=1)  # Play one game and see your score!

Statistical Analysis

main(iterations=100000)  # Analyze 100K games

Hunt for Victory

main()  # Run until first win (could take a VERY long time!)

๐Ÿ”ฌ Scientific Insights

Why Is This Game So Difficult?

  1. Restrictive Position Rules: Cards can ONLY match adjacent OR exactly 3 positions back - no other positions allowed
  2. Limited Matching Options: Only rank OR suit matching
  3. Sequential Dependencies: Card order matters tremendously
  4. Cascade Complexity: Matches can trigger chain reactions, but still follow strict position rules
  5. Choice Constraints: When both positions have matches, choosing one eliminates the other opportunity
  6. Probabilistic Convergence: Getting close requires multiple rare events aligning perfectly

The Mathematics of Rarity

  • 52! possible deck arrangements: 8.07 ร— 10โถโท combinations
  • Complex state space: Each card placement creates branching possibilities
  • Convergence requirements: Multiple perfect matching sequences needed
  • Statistical significance: 700M+ samples provide robust probability bounds

๐Ÿ Conclusions

Our computational analysis definitively proves that achieving a "Once In A Lifetime" victory is:

โœจ Extraordinarily rare - Less than 1 in 700 million chance
๐ŸŽฏ Perfectly named - The game title captures the true rarity
๐Ÿงฌ Statistically fascinating - A beautiful example of complex probability
๐Ÿ‘จโ€๐Ÿ‘ฉโ€๐Ÿ‘งโ€๐Ÿ‘ฆ Family legend confirmed - 40+ years of gameplay experience validated!

๐ŸŽ‰ The Positive Perspective

While winning is incredibly rare, this makes the game:

  • Endlessly replayable - Every game offers hope!
  • Statistically fascinating - Each attempt contributes to understanding
  • Family bonding material - Shared challenge across generations
  • Computational showcase - Demonstrates the power of simulation
  • Mathematical beauty - Probability theory in action

๐Ÿค Contributing

Feel free to:

  • ๐Ÿ”ง Optimize the algorithms further
  • ๐Ÿ“Š Add new visualization features
  • ๐Ÿงช Experiment with rule variations
  • ๐Ÿ“ˆ Extend the statistical analysis
  • ๐ŸŽฎ Create interactive versions

๐Ÿ“œ License

This family card game simulation is shared freely - may it bring joy and statistical wonder to your household too!


"The best part about a 1-in-700-million chance? It's not zero!" ๐ŸŽฒโœจ

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